SIMARDEEP KAUR

[ adc38k@r.postjobfree.com Ó +1-236-***-**** Vancouver, BC linkedin.com/in/simar0510 github.com/SimardeepKaur SKILLS

Python R SQL Scikit-Learn

Pandas Matplotlib TensorFlow

Map Reduce Power BI NLP

Algorithms and Data Structures

Git and Version control Data cleaning

Statistical modeling Data Visualization

Problem-solving and critical thinking

Predictive Modeling PostgreSQL

Web Scraping Feature Selection

EDUCATION

M.Sc. in Data Science Candidate

University of British Columbia

Sept 2019 – Present

B.E. in Electrical Engineering

Thapar University

Aug 2014 – July 2018

CERTIFICATIONS

Machine Learning by Stanford University [Jan

2019]

The Data Scientist’s Tool-box by John Hopkins

University (JHU) [Dec 2018]

R Programming by JHU [Dec 2018]

Getting and cleaning data by JHU [Dec 2018]

Exploratory Data Analysis by JHU [Dec 2018]

Reproducible Research by JHU [Dec 2018]

MOST PROUD OF

3

Thapar University Merit

Scholarship(2014- 2016)

Recipient of Scholarship for being in

top 10% of the electrical department

3

Overall Discipline Coordinator(2015-

2017)

Selected to manage and lead the ad-

mission counselling society at Thapar

University, Froshweek

z

Mathematics Tutor(2015- 2017)

Volunteered two hours per week to

help students understand concepts,

solve problems, and prepare for tests

in “Pratigya” Society at Thapar Univer-

sity

EXPERIENCE

Business Technology Analyst

Deloitte Consulting India Pvt. Ltd

Aug 2018 – Aug 2019 Bangalore, India

Extracting and cleansing the data from SAP systems using ETL tools like Tal- end/Informatica by writing complex SQL statements and stored procedures

Reduced around 80 % manual efforts by automating accounting/ledger bal- ance data load using DellBoomi

Applied native NetSuite APIs to optimize script customizations associated with invoicing processes

Data Analytics Intern

Concept International Business Consulting

Jan 2018 – Jun 2018 Gurgaon, India

Assisted in advocating game plans for potential investors using data visual- izations

Intensive cleaning and wrangling of data collected from industries of differ- ent domains

Implemented predictive analytic techniques to develop a strategy to enter Indian market

PROJECTS

Search Optimization NNCL, Thapar University

Jan 2018 – July 2018 Thapar University

Use of NLP pipeline and ISBN indexing to issue tags using descriptor similar- ity between books

Developed word2vec models for stochastic predictions

Achieved the correlation between the predicted word and user required ac- tual word of 0.84

NFL predictor

Jan 2020 – Feb 2020 UBC

Used classification techniques like Random forest and logistic regression to achieve an accuracy of 75% to predict the results using ELO rating

Built an automated data analysis pipeline using an automation tool, Make to combine the scripts for loading, cleaning,analyzing and visualizing data

Used Docker to make the project reproducible on any machine Job Analyzer App

Nov 2019 – Dec 2019 UBC

Collaborated with a team of 3 people to develop an app to show the chang- ing job trends

Data manipulation using pandas and tidyverse

Developed interactive data visualizations using both Python and R imple- mentation of dash

Air quality Index prediction

Nov 2019 – Dec 2019 Vancouver

Improved accuracy of Xgboost Regression upto 50% using hyperparameter optimiziation and predictive modeling techniques

Collected raw data using web scraping and cleaned it using pandas

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